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Allows practitioners and researchers a wholesale approach for deriving magnitude-based inferences from raw data. A major goal of 'mbir' is to programmatically detect appropriate statistical tests to run in lieu of relying on practitioners to determine correct stepwise procedures independently.
| Version: | 1.3.5 |
| Imports: | graphics, stats, utils, effsize, psych |
| Suggests: | knitr, testthat, rmarkdown |
| Published: | 2019-01-22 |
| DOI: | 10.32614/CRAN.package.mbir |
| Author: | Kyle Peterson [aut, cre], Aaron Caldwell [aut] |
| Maintainer: | Kyle Peterson <petersonkdon at gmail.com> |
| License: | GPL-2 |
| Copyright: | Segments of the package are based upon Will G. Hopkins' work. See vignette and COPYRIGHT file for details. |
| URL: | http://mbir-project.us/ |
| NeedsCompilation: | no |
| CRAN checks: | mbir results |
| Reference manual: | mbir.pdf |
| Vignettes: |
Introduction to mbir |
| Package source: | mbir_1.3.5.tar.gz |
| Windows binaries: | r-devel: mbir_1.3.5.zip, r-release: mbir_1.3.5.zip, r-oldrel: mbir_1.3.5.zip |
| macOS binaries: | r-release (arm64): mbir_1.3.5.tgz, r-oldrel (arm64): mbir_1.3.5.tgz, r-release (x86_64): mbir_1.3.5.tgz, r-oldrel (x86_64): mbir_1.3.5.tgz |
| Old sources: | mbir archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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